Katherine Rose Driggs-Campbell

Orcid: 0000-0003-3760-9859

According to our database1, Katherine Rose Driggs-Campbell authored at least 92 papers between 2014 and 2024.

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Bibliography

2024
DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding.
IEEE Robotics Autom. Lett., 2024

Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art.
CoRR, 2024

Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS.
CoRR, 2024

Towards Provable Log Density Policy Gradient.
CoRR, 2024

2023
Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics.
IEEE Trans. Autom. Control., June, 2023

D<sup>3</sup>Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation.
CoRR, 2023

Neural Informed RRT* with Point-based Network Guidance for Optimal Sampling-based Path Planning.
CoRR, 2023

Learning Task Skills and Goals Simultaneously from Physical Interaction.
CoRR, 2023

In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks.
CoRR, 2023

Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks.
CoRR, 2023

User-Friendly Safety Monitoring System for Manufacturing Cobots.
CoRR, 2023

Equivariant Few-Shot Learning from Pretrained Models.
CoRR, 2023

Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries.
CoRR, 2023

Designing a Wayfinding Robot for People with Visual Impairments.
CoRR, 2023

Towards Co-operative Congestion Mitigation.
CoRR, 2023

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation.
CoRR, 2023

Dynamic-Resolution Model Learning for Object Pile Manipulation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Efficient Equivariant Transfer Learning from Pretrained Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation.
IROS, 2023

Towards Robots that Influence Humans over Long-Term Interaction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Occlusion-Aware Crowd Navigation Using People as Sensors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Visual-Audio Representations for Voice-Controlled Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Marginalized Importance Sampling for Off-Environment Policy Evaluation.
Proceedings of the Conference on Robot Learning, 2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks.
Proceedings of the Conference on Robot Learning, 2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.
Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion.
IEEE Robotics Autom. Lett., 2022

Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction.
IEEE Robotics Autom. Lett., 2022

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.
CoRR, 2022

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material).
CoRR, 2022

Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration.
CoRR, 2022

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration.
CoRR, 2022

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction.
CoRR, 2022

Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Navigate Intersections with Unsupervised Driver Trait Inference.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Off Environment Evaluation Using Convex Risk Minimization.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-Agent Variational Occlusion Inference Using People as Sensors.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM.
IEEE Robotics Autom. Lett., 2021

Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots.
CoRR, 2021

Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction.
CoRR, 2021

Building Mental Models through Preview of Autopilot Behaviors.
CoRR, 2021

A Moment-Based Safety Analysis for Stochastic Dynamical Systems.
CoRR, 2021

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptive Failure Search Using Critical States from Domain Experts.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

AutoPreview: A Framework for Autopilot Behavior Understanding.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving.
IEEE Trans. Intell. Veh., 2020

Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty.
CoRR, 2020

Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction.
CoRR, 2020

To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles.
CoRR, 2020

Modeling and Prediction of Human Driver Behavior: A Survey.
CoRR, 2020

Online Monitoring for Safe Pedestrian-Vehicle Interactions.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Online monitoring for safe pedestrian-vehicle interactions.
CoRR, 2019

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation.
CoRR, 2019

Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Monte Carlo Tree Search for Policy Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

HG-DAgger: Interactive Imitation Learning with Human Experts.
Proceedings of the International Conference on Robotics and Automation, 2019

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets.
IEEE Trans. Intell. Veh., 2018

Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Affective Driver State Monitoring for Personalized, Adaptive ADAS.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

People as Sensors: Imputing Maps from Human Actions.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction.
PhD thesis, 2017

Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers.
IEEE Trans. Intell. Transp. Syst., 2017

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning.
CoRR, 2017

Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets.
CoRR, 2017

Optimizing interaction between humans and autonomy via information constraints on interface design.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Data-driven reachability analysis for human-in-the-loop systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Comparing datasets for generalizing models of driver intent in dynamic environments.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Towards trustworthy automation: User interfaces that convey internal and external awareness.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Communicating intent on the road through human-inspired control schemes.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Improved driver modeling for human-in-the-loop vehicular control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Semiautonomous Vehicular Control Using Driver Modeling.
IEEE Trans. Intell. Transp. Syst., 2014

Experimental Design for Human-in-the-Loop Driving Simulations.
CoRR, 2014

User interface design and verification for semi-autonomous driving.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Decisions for autonomous vehicles: integrating sensors, communication, and control.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior.
Proceedings of the 2014 AAAI Spring Symposia, 2014


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